Dissertation > Excellent graduate degree dissertation topics show

A Study on Enhancement Processing of Medical Images Based on Dyadic Wavelet Transform

Author: ZhangHaiYing
Tutor: TuErHongJiang·ABuDuKeLiMu
School: Xinjiang Normal University
Course: Applied Mathematics
Keywords: The dyadic lifting schemes Dyadic wavelet filters Vanishing moments Medical image
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 126
Quote: 1
Read: Download Dissertation

Abstract


It is necessary for enhancement of medical images what have poor contrast and unclear details to meet diagnosis and treat. Discrete wavelet transform has received much attention as a new powerful tool of image processing. There are two types of discrete wavelet transform: the biorthogonal wavelet transform and the dyadic wavelet transform. Since the biorthogonal wavelet transform is of down-sampling type and the demerit of being not shift-invariant, so precision of image processing isn’t very good. However, the dyadic wavelet transform is shift-invariant and don’t sample, so precision of image processing is better. Now, we study on enhancement of medical images based on the dyadic wavelet transform theory. Firstly, We analyse the dyadic lifting schemes what are proposed by T.Abdukirim. The schemes generalize Sweldens lifting schemes. Employing the schemes, biorthogonal wavelet filters and dyadic wavelet filters with good properties can be constructed starting from dyadic wavelet filters by choosing appropriate free parameters. In thesis two theorems are proposed based on the dyadic lifting schemes and vanishing moments. Two theorems offer a new method of construction of dyadic wavelet filters. Two theorems indicate that dyadic wavelet filters with higher number of vanishing moments can be obtained if free parameters meet condition of theorems. Meantime, lifting dyadic wavelet filters with compactly supported, symmetry and higher number of vanishing moments are constructed starting from initial dyadic wavelet filters constructed by T.Abdukirim. Secondly, initial dyadic wavelet filters and lifting dyadic wavelet filters are used in experiments. Results of lots of experiments show that Entropy and Contrast Improvement Index of images processed by lifting dyadic wavelet filters have slighter improvement compared with initial dyadic wavelet filters. So it is necessary and valid for construction of lifting dyadic wavelet filters. Medical images what have higher contrast and clearer details could be obtained. It is in favor of assisting doctors in diagnosising, and offers reference for development of radiology.

Related Dissertations

  1. The Design and Implementation of Medical Image Remote Access and Sharing Based on WADO,TP311.52
  2. Network transmission ROI image coding algorithm,TN919.81
  3. The Research of Medical Image Fusion Algorithm Based on Level Set Regions Segmentation,TP391.41
  4. Research and Implementation of Non-rigid Medical Image Registration Method Based on Improved Optical Flow Model,TP391.41
  5. The Research on Content-based Medical Image Retrieval Algorithm,TP391.41
  6. The Research of Key Techniques on Computer-Aided Planning before Liver Transplantation,TP391.41
  7. The Design and Implementation of Web Services Interface for Retrieval Engine in Medical Image Database,TP311.52
  8. Design and Implementation of Medical Images Post-processing Embedded Mechanism,TP391.41
  9. Research on Relevance Feedback Techniques Based on Long-term Log Learning and RW-Soft SVM in CBIR,TP391.3
  10. Study on Medical Image Segmentation Method Based on Parametric Active Contour Models,TP391.41
  11. Study on Segmentation Method for Medical Images Based on Level Set,TP391.41
  12. The Design and Implementation of a Medical Image Retrieval Client System,TP311.52
  13. The Technology of CT/MRI Image Fusion Based on Wavelet Transform,TP391.41
  14. Medical image registration platform and combines new gray with geometric information Registration Measures,TP391.41
  15. Research on Feature-driven Image Registration and Image Mosaic of CT Images,TP391.41
  16. The Application and Research of Lung Region Segmentation in Chest X-ray Images Based on Active Shape Model,TP391.41
  17. Compactly supported orthonormal wavelet and wavelet theory in economic forecasts,O174.2
  18. Small PACS system image workstation design,TP368.5
  19. Tomographic images of the human body structure based three-dimensional modeling of Medicine,TP391.41
  20. 2D-3D Medical Image Registration Technology Research Based on CUDA,TP391.41
  21. Research of Medical Image Quality Assessment,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile